Analog Circuit Fault Diagnosis Based on the Fractional Sliding Model Observer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-023-02432-0.pdf
Reference37 articles.
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3. T.G. Burton, R.A. Goubran, F. Beaucoup, Nonlinear system identification using a subband adaptive Volterra filter. IEEE Trans. Instrum. Meas. 58(5), 1389–1397 (2009)
4. D. Camarena-Martinez, M. Valtierra- Rodriguez, A. Garcia-Perez, et al., Empirical mode decomposition and neural networks on FPGA for fault diagnosis in induction motors. Sci. World J., 908140 (2014)
5. X. Chen, X. Xu, A. Liu et al., The use of multivariate EMD and CCA for Denoising muscle Artifacts from few-channel EEG recordings. IEEE Trans. Instrum. Meas. 67(2), 359–370 (2018)
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